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Safety and efficiency are two important aspects of human-robot collaboration (HRC). Most existing control methods for HRC consider either contactless HRC or physical HRC, hindering more efficient HRC.

In this paper, we propose two new algorithms for maximum-likelihood estimation (MLE) of high dimensional sparse covariance matrices. Unlike most of the state-of-the-art methods, which either use ...